Privacy and safety concerns due to ubiquity of AI systems in economy and society (lack of social acceptance)

Classification

Domain

2. Privacy & Security

Subdomain

2.1 Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

Causal entity

Human

Intent

Other

Timing

Post-deployment

Subdomain definition: AI systems that memorize and leak sensitive personal data or infer private information about individuals without their consent. Unexpected or unauthorized sharing of data and information can compromise user expectation of privacy, assist identity theft, or loss of confidential intellectual property.

Real-world incidents in this subdomain

• 27 Feb 2026Meta AI Smart Glasses Reportedly Routed Intimate Imagery to Reviewers at Kenyan Contractor Sama Before Meta Ended Contract
• 19 Feb 2026Grok Reportedly Disclosed Adult Performer Siri Dahl's Legal Name and Birthdate, Allegedly Contributing to Doxxing and Harassment
• 23 Jan 2026NPR Host David Greene Alleged Google's NotebookLM Replicated His Voice Without Consent, Prompting Lawsuit
• 10 Jan 2026Border Patrol Agent Allegedly Claimed Facial Recognition Identified Minneapolis ICE Observer and Global Entry Was Reportedly Revoked Three Days Later
• 4 Dec 2025Perplexity AI Reportedly Accused in Federal Lawsuit of Purported Copyright Infringement and False Attribution of Chicago Tribune Content
• 19 Nov 2025Secret Desires AI Platform Reportedly Exposed Nearly Two Million Sensitive Images in Cloud Storage Leak

How other frameworks describe this risk

• Risks to privacy

  International Scientific Report on the Safety of Advanced AI (Bengio2024)

• Risks to privacy

  International AI Safety Report 2025 (Bengio2025)

• Privacy Leakage

  Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

• Private Training Data

  Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

• Memorization in LLMs

  Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

• Association in LLMs

  Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

• Privacy Leakage

  Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

• Privacy and regulation violations

  Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)

Other entries from Wirtz2022

• Technological, Data and Analytical AI Risks Risk Category
• Loss of control of autonomous systems and unforeseen behaviour due to lack of transparency and self-programming/ reprogramming Risk Sub-Category · 7.1
• Programming error Risk Sub-Category · 7.0
• Lack of data, poor data quality, and biases in training data Risk Sub-Category · 1.1
• Vulnerability of AI systems to attacks and misuse Risk Sub-Category · 2.2
• Lack of AI experts with comprehensive AI knowledge Risk Sub-Category · 6.5
• Immaturity of AI technology can cause incorrect decisions Risk Sub-Category · 7.3
• High investment costs of AI hinder integration Risk Sub-Category · 6.1
• Informational and Communicational AI Risks Risk Category · 4.1
• Manipulation and control of information provision (e.g., personalised adds, filtered news) Risk Sub-Category · 4.1
• Disinformation and computational propaganda Risk Sub-Category · 4.1
• Censorship of opinions expressed in the Internet restricts freedom of expression Risk Sub-Category · 5.2